With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI areas (Machine Learning, NLP, Computer Vision) and development of solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to understand data, requirements, design and develop a Machine Learning Model for the requirements. This Job requires the following:

Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)

Experience in predictive analytics and statistical modeling

Experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN

Essential Qualifications

B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred

Technical Qualifications (Essential)

Hands-on programming experience

Hands-on technical design experience

Hands-on prompt engineering experience

Design and Development of at least 3 Data Science, AI Projects with design and development of Machine Learning models

1 Generative AI Project designed, developed and delivered to production is desirable

Primary Skills

Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks

Good understanding of business and domain of the applications

Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms

Hands-on experience in design and development of API based applications for AI and Data Science Projects

Understanding in GenAI concepts, RAG and Models fine-tuning techniques is desirable

Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc.,

Understanding of DevOps pipelines for deployment

Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake

Secondary Skills

Experience using Databricks and Azure Data platform

Knowledge of any configuration management tools is desirable

Familiarity with containerization and container orchestration services like Docker and Kubernetes

Experience

3+ years in Machine Learning Model development in Data Science/AI Projects. Awareness of LLM integrations / development is desirable.

Description of Responsibility

Understand customer s requirements (Business, Functional, Non-Functional etc.,), design and develop Machine Learning Models

Design and implement Machine Learning Models using major technology and computing platforms (open source and cloud)

Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights.

Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects

Knowledge of data modeling and understanding of different data structures

Experience with design of AI/ML solutions either as standalone or integrated with other applications

Experience in Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, LLama, Mistral etc.,) is desirable

Skills / Competencies requirement

Research Orientation

Proactive Clear Communication

Collaboration

Solution Orientation

Solution Articulation

Accountability

Adaptability / Flexibility

Analytical Skills

Listening Skills

Customer Service Orientation

Role: Machine Learning Engineer

Industry Type: Software Product

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

Lead Data Scientist - AI/ML Engineer

ML Engineer